小檗碱
化学
生物信息学
生化工程
黄连碱
黄连
计算生物学
黄连
生物碱
数量结构-活动关系
弗洛斯
色谱法
芯(光纤)
药理学
中医药
药品
吴茱萸碱
作者
Jilong Zhao,Ying-Shu Quan,Zhenyu Song,Rong Rong,Tiantian Si
摘要
Metal-organic frameworks (MOFs) offer a revolutionary platform for addressing the inherent toxicity-efficacy paradox of bioactive alkaloids in traditional Chinese medicine (TCM). This review summarizes recent advances in MOF-based strategies for detoxification and potentiation of alkaloid drugs by integrating TCM holism principles with modern material science. We emphasize a methodology that combines network pharmacology for in silico prediction of multi-target mechanisms with chromatographic techniques (e.g., HPLC, LC-MS) for experimental validation of key alkaloids. Using Coptis chinensis against influenza A virus (H1N1) as an example, network pharmacology identifies modulation of TNF-α and IL-6 pathways as core mechanisms, while chromatographic analysis confirms and quantifies the predicted bioactive compounds (e.g., berberine and coptisine). This validated multi-target profile provides a rational basis for designing MOF-based systems capable of targeted co-delivery and controlled release of alkaloids, thereby achieving synergistic toxicity reduction and efficacy enhancement. It presents a robust, methodology-rich framework that bridges computational prediction, analytical validation, and precision delivery for modernizing TCM alkaloid research.
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